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Machine learning links T cell function and spatial localization to neoadjuvant immunotherapy and clinical outcome in pancreatic cancer

Tumor molecular datasets are becoming increasingly complex, making it nearly impossible for humans alone to effectively analyze them. Here, we demonstrate the power of using machine learning to analyze a single-cell, spatial, and highly multiplexed proteomic dataset from human pancreatic cancer and...

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Detalles Bibliográficos
Autores principales:	Blise, Katie E., Sivagnanam, Shamilene, Betts, Courtney B., Betre, Konjit, Kirchberger, Nell, Tate, Benjamin, Furth, Emma E., Dias Costa, Andressa, Nowak, Jonathan A., Wolpin, Brian M., Vonderheide, Robert H., Goecks, Jeremy, Coussens, Lisa M., Byrne, Katelyn T.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cold Spring Harbor Laboratory 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634700/ https://www.ncbi.nlm.nih.gov/pubmed/37961410 http://dx.doi.org/10.1101/2023.10.20.563335

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